轉職熱搜工作

1. 主導系統架構設計：規劃並設計次世代醫療系統（HIS）總體技術架構與演進藍圖。 2. 微服務拆分與治理：根據醫院核心業務，主導微服務的邊界劃分、API 契約設計與服務治理策略。 3. 數據架構規劃： 設計數據湖與數據中臺架構，規劃全院級的數據整合、ETL 流程與數據治理體系。 4. 推動醫療數據標準化： 負責推動並落實 HL7/FHIR 等國際醫療資訊標準在系統中的應用與數據交換。 5. 制定技術規範： 建立與推行開發、安全、部署、監控等方面的技術標準、規範與最佳實踐。 6. 規劃 DevOps 體系： 設計 CI/CD 自動化流程與可觀測性（Observability）系統方案，提升交付效率與系統穩定性。 7. 技術選型與評估： 負責核心技術元件（雲端服務、資料庫、中間件）的選型、評估與概念性驗證（PoC）。 8. 解決方案與技術攻關： 領導團隊解決專案中的關鍵技術挑戰與架構瓶頸。 9. 技術指導與審查： 提供技術指導與培訓，並負責核心程式碼與架構設計的審查（Review）。 10. 前瞻技術研究： 持續引入雲端計算前沿技術，驅動醫療系統的架構創新。

Job Summary: The Statistician/Data Scientist will be responsible for all advanced statistical methods utilized for improving product quality, production yield, and factory effectiveness as well as finding the root-causes, along with other consulting services such as customer targeting and lead scoring in support of sales and marketing activities worldwide. Key Responsibilities: • Design, implement, and refine advanced statistical/Machine Learning models to support product quality improvement, increasing yield and factory effectiveness. • Cultivate strong relationships with production line engineers, IT, and other key stakeholders to ensure alignment of modeling initiatives with company objectives and to identify new hypotheses for model improvements. • Scale out modeling capacity by driving infrastructure improvements such as automation of data preparations, model training, implementation, and optimization. • Support integration of models into tools for use by product engineers and business analysts. • Engage with customers to develop and customized data analytics solutions to address special needs. • Address ad hoc queries from management and present actionable recommendations in a clear, concise, and convincing manner. • Communicate the application and benefits of using various predictive modeling techniques to improve decision-making to customers and stakeholders. • Collaborate effectively with team members, whether leading projects or supporting initiatives led by others. • Provide direction, training, and guidance to less experienced team members.

京站做為新一代的百貨公司，正全面擁抱『數位轉型』，利用IT的系統或工具，幫助公司不斷前進並脫穎而出，資訊部門將扮演相當重要的角色，亟需要有經驗的資訊人才共襄盛舉，如果你厭倦了無止盡的超時工作，又或對目前工作前景沒信心，希望有一番作為與成長，歡迎來聊聊。 工作內容： 此為軟體系統整合服務單位 1.支援系統活動設定及維運調整 2.解決系統整合串接異常及營運問題 3.協助整合功能驗測及上線 4.協助報表產出及收集 5.主管交辦事項 6.須具備工作技能：office、Postman、SQL

✦會工業配線，會PLC自動控制薪更佳 (標示薪資為底薪不含加班費) ✦需配合出差不怕辛苦，須有汽車駕照 ✦需有控制盤配線經驗，需對「電」有基本概念。 ✦享勞健保，出差，外出有提供午餐.加班有津貼.薪資依能力調整.休假時間皆跟政府單位一樣

1. 熟系統規劃分析與設計 2. 系統功能驗證測試 3. 規畫及簡報能力、擅溝通協調並能獨立作業 4. 具程式設計與資料庫(MS SQL Server)管理分析能力 5. 熟系Vue結合C#程式設計能力 6. 具備C# Web API程式設計能力

＜About the job＞： The Data Science & AI team of headquarter IT is developing the frontier and practical analytic technologies that enhance the data value. As the data scientist, you‘ll join the AI/Big Data Analytics program/projects related to management topics, including Commercial/Industrial Engineering/Supply Chain/Financial Performance/Operation...etc., to build the model or algorithm to empower data-driven & analytics-driven for driving business value from data insights in this world-class company (Fortune Global 500, 22nd). ＜Job Description＞： ．Design, implement and refine advanced Statistical Modeling/Machine Learning/Deep Learning/Numerical Simulation/Optimization Algorithm Models(at least one of the fields) ．Ensure alignment of modeling initiatives with the requirement goal defined by key stakeholders and company objectives and identify new hypotheses for model improvements. ．Executing big data analysis and predictive analytics projects include feature engineering, model building, algorithm development, etc. ．Works closely with a team of data system analysts, business data analysts, data engineers, data platform architects, etc. ．Collaborate effectively with team members, whether leading tasks or supporting initiatives led by others. ．Self-motivated, Result-oriented, and interested in applying quantitative methods to solving business and engineering problems. ＜Skills＞ ．Experience with any one of Machine Learning, Statistical Modeling, Deep Learning(Nature Language/Image), Econometric Modeling, Optimization Algorithm(OR), Numerical Simulation..., etc., model/algorithm building of the practical application in the industry. ．Familiarity with programming languages like Python or R, or Java. (Good programming skills in Python is a plus). ．Advanced ability to perform Exploratory Data Analysis and working knowledge of statistics. ．Ability to visualize data in the most effective way possible for a given task, especially visualize models and results and debug and troubleshoot code and models. ．Big on finding the many insights based on the data and being passionate and patient about working with complex data.

帶領開發團隊進行企業應用設計與開發，負責軟體架構設計與開發進度掌控。 1. 熟悉雲端架構設計（如 AWS/GCP/Azure） 2. 熟悉 CI/CD 流程與工具（如 Jenkins、GitLab CI、ArgoCD） 3. 具備微服務架構與Kubernetes管理經驗 4. 熟悉DevOps文化與團隊管理

1.客戶需求討論、業務流程梳理與撰寫系統建議書。 2.軟體專案系統規劃設計與開發工作優先順序制定。 3.製作系統測試計畫書與系統使用手冊。 4.專案相關文件製作。 5.識別並協助處理技術或業務面問題。 6.熟悉SQL以協助團隊編寫複雜的查詢和儲存程序，實現業務需求。 7.優化保固內既有專案之資料庫性能。 8.規劃執行備份策略與資料庫安全性管理設定。 *薪資依學經歷敘薪

1. 撰寫 SQL 分析資料，熟悉數據視覺化，透過BI或數據視覺化工具將風險管理數據轉換為視覺化圖表; 2. 熟悉相關統計分析及資料處理能力，運用內部及外部數據，建構風險管理大數據平台。 3. 以 AI 工具或風險參數建立智能風險追蹤與預警機制及模型。

1.教學平台管理與維護(如: 網站、APP…等各式數位教學方式) 2.系統異常問題即時處理及廠商連繫 3.使用說明書撰寫及客戶教學 4.客戶相關問題應對處理 5.積極強化平台運作流程 福利制度: 供餐膳食(午餐,晚膳) 慶生活動 員工旅遊 子女入學優惠方案(員工兄弟姐妹子女,員工子女) 員工福利補助金(結婚禮金,生育補助,傷病慰問金)